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G-MEDUTA: a group decision making methodology for improving the health care services of an emergency department

Matsatsinis Nikolaos, Grigoroudis Evangelos, Manolitzas Panagiotis

Πλήρης Εγγραφή

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Περίληψη

One of the main characteristics of the health care services is the complexity of the procedures. In order to be tackled this phenomenon many methodologies has been introduced. The current methodologies use techniques like simulation, multiple criteria analysis, Decision Support Systems and optimization in order to improve the Decision Making Process. The main disadvantage of these methodologies is that take into account the thought of one Decision Maker in order to redesign the health care services. In this application we enable many actors based on the point of view that the real world decision making problems involve multiple actors for redesigning health care services. In order to apply the G-MEDUTA we developed three steps. At the first step we deploy a simulation model in order to reproduce the current state of the emergency department. Based on the simulation model we test alternative scenarios in order to examine the effect of these decisions on criteria like the working load of the personnel, the usage of the beds, the waiting time, the total length of stay etc. At the second step we enable many stakeholders like the CEO of the hospital, the Director of the emergency department, the administrative personnel and the patients for the ranking of the alternatives. At the third step we apply the collective uta algorithm in order to achieve consensus among the group of Decision Makers (DMs). More specifically the proposed methodology has the advantage to determine potential inconsistencies among the DMs and more over to define potential interactions that may achieve a higher group consistency level.

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